A dynamic multi-objective evolutionary algorithm using a change severity-based adaptive population management strategy
Sign Up to like & getrecommendations! Published in 2017 at "Soft Computing"
DOI: 10.1007/s00500-015-1820-4
Abstract: In addition to the need for simultaneously optimizing several competing objectives, many real-world problems are also dynamic in nature. These problems are called dynamic multi-objective optimization problems. Applying evolutionary algorithms to solve dynamic optimization problems… read more here.
Keywords: change severity; population management; multi objective; dynamic multi ... See more keywords
Adaptive and dynamic multi-grouping scheme for absolute moment block truncation coding
Sign Up to like & getrecommendations! Published in 2018 at "Multimedia Tools and Applications"
DOI: 10.1007/s11042-018-6030-5
Abstract: Image compression technique is widely used in multimedia signal processing. As a conventional lossy compression technique, block truncation coding (BTC) deserves further improvements to enhance its performance of compression. The improvements of BTC mainly focus… read more here.
Keywords: block truncation; truncation coding; adaptive dynamic; dynamic multi ... See more keywords
Parameters identification of solid oxide fuel cell for static and dynamic simulation using comprehensive learning dynamic multi-swarm marine predators algorithm
Sign Up to like & getrecommendations! Published in 2021 at "Energy Conversion and Management"
DOI: 10.1016/j.enconman.2020.113692
Abstract: Abstract An accurate identification of the parameters of solid oxide fuel cell (SOFC) models is the first step to provide a reliable design for an energy storage system using SOFC. Therefore, in the current work,… read more here.
Keywords: multi swarm; learning dynamic; dynamic multi; marine predators ... See more keywords
An Improved Hybrid Method Combining Gravitational Search Algorithm With Dynamic Multi Swarm Particle Swarm Optimization
Sign Up to like & getrecommendations! Published in 2019 at "IEEE Access"
DOI: 10.1109/access.2019.2903137
Abstract: GSA is badly suffering from a slow convergence rate and poor local search ability when solving complex optimization problems. To solve this problem, a new hybrid population-based algorithm is proposed with the combination of dynamic… read more here.
Keywords: optimization; dynamic multi; multi swarm; swarm ... See more keywords
An Integrated Approach for Fuzzy-Dynamic Multi-Attribute Group Decision Making With Application in Renewable Energy
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DOI: 10.1109/access.2020.3014897
Abstract: This article proposes a methodology for tackling intuitionistic fuzzy-dynamic multi-attribute group decision-making (IF-DMAGDM) problems in the presence of uncertainty. The ELECTRE I approach is integrated with the VIKOR method by considering intuitionistic fuzzy environments. This… read more here.
Keywords: decision; dynamic multi; group decision; fuzzy dynamic ... See more keywords
Tracking Variable Fitness Landscape in Dynamic Multi-Objective Optimization Using Adaptive Mutation and Crossover Operators
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DOI: 10.1109/access.2020.3031498
Abstract: Many real-world problems are modeled as multi-objective optimization problems whose optimal solutions change with time. These problems are commonly termed dynamic multi-objective optimization problems (DMOPs). One challenge associated with solving such problems is the fact… read more here.
Keywords: optimization; time; dynamic multi; objective optimization ... See more keywords
ThermoSurf: Thermal Display Technology for Dynamic and Multi-Finger Interactions
Sign Up to like & getrecommendations! Published in 2023 at "IEEE Access"
DOI: 10.1109/access.2023.3242040
Abstract: Thermal feedback has been proven to enhance user experience in human-machine interactions. Yet state-of-the-art thermal technology has focused on the single finger or palm in static contact, overlooking dynamic and multi-finger interactions. The underlying challenges… read more here.
Keywords: technology; finger; dynamic multi; finger interactions ... See more keywords
A Self-Learning Based Dynamic Multi-Objective Evolutionary Algorithm for Resilient Scheduling Problems in Steelmaking Plants
Sign Up to like & getrecommendations! Published in 2023 at "IEEE Transactions on Automation Science and Engineering"
DOI: 10.1109/tase.2022.3168385
Abstract: Scheduling is one of the most important missions for plant-wide optimization in steelmaking manufacturing systems. In the context of dynamic scheduling, the decision-maker should simultaneously minimize economic objectives within the decision space and violation penalty… read more here.
Keywords: problem; multi objective; dynamic multi; algorithm ... See more keywords
Environment Sensitivity-Based Cooperative Co-Evolutionary Algorithms for Dynamic Multi-Objective Optimization
Sign Up to like & getrecommendations! Published in 2018 at "IEEE/ACM Transactions on Computational Biology and Bioinformatics"
DOI: 10.1109/tcbb.2017.2652453
Abstract: Dynamic multi-objective optimization problems (DMOPs) not only involve multiple conflicting objectives, but these objectives may also vary with time, raising a challenge for researchers to solve them. This paper presents a cooperative co-evolutionary strategy based… read more here.
Keywords: algorithms; multi objective; dynamic multi; objective optimization ... See more keywords
Learning Holistic Interactions in LBSNs With High-Order, Dynamic, and Multi-Role Contexts
Sign Up to like & getrecommendations! Published in 2023 at "IEEE Transactions on Knowledge and Data Engineering"
DOI: 10.1109/tkde.2022.3150792
Abstract: Location-based social networks (LBSNs) have emerged over the past few years. Their exponential network effects depend on the fact that each user can share her daily digital footprints with different communities, in different places, and… read more here.
Keywords: holistic interactions; dynamic multi; high order; role contexts ... See more keywords
A FJSSP Method Based on Dynamic Multi-Objective Squirrel Search Algorithm
Sign Up to like & getrecommendations! Published in 2021 at "International Journal of Antennas and Propagation"
DOI: 10.1155/2021/6062689
Abstract: This paper comprehensively analyzes the characteristics of flexible job shop scheduling problem (FJSSP), takes the dynamic factors in the actual scheduling process such as the arrival and departure of jobs, the breakdown and recovery of… read more here.
Keywords: squirrel search; multi objective; dynamic multi; search algorithm ... See more keywords